An Efficient Dynamic Power Estimation Method for On-chip VLSI Interconnects

2011 ◽  
Author(s):  
Susmita Sahoo ◽  
Madhumanti Datta ◽  
Rajib Kar
Keyword(s):  
Estimation Method ◽  
Power Estimation ◽  
Dynamic Power ◽  
Vlsi Interconnects ◽  
On Chip

scholarly journals Improved Coordinated Control Strategy for Hybrid STATCOM Using Required Reactive Power Estimation Method

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 84506-84515
Author(s):  
Sungyoon Song ◽  
Sungchul Hwang ◽  
Gilsoo Jang ◽  
Minhan Yoon
Keyword(s):  
Control Strategy ◽  
Reactive Power ◽  
Estimation Method ◽  
Coordinated Control ◽  
Power Estimation

A novel fusion model based online state of power estimation method for lithium-ion capacitor

2021 ◽  
Vol 36 ◽  
pp. 102387
Author(s):  
Wenxin Chen ◽  
Cheng Xu ◽  
Manlin Chen ◽  
Kai Jiang ◽  
Kangli Wang
Keyword(s):  
Estimation Method ◽  
Lithium Ion ◽  
Power Estimation ◽  
Fusion Model ◽  
Model Based ◽  
Lithium Ion Capacitor ◽  
State Of Power

scholarly journals Instruction Based Power Estimation Method in AURIX Micro controller

2021 ◽  
Vol 23 (06) ◽  
pp. 784-793
Author(s):  
Kiran Guruprasad Shetty P S ◽  
◽  
Dr. Ravish Aradhya H V ◽  
Keyword(s):  
Data Processing ◽  
Data Transfer ◽  
Estimation Method ◽  
Power Estimation ◽  
New Method ◽  
Abstraction Levels ◽  
Program Software

Power estimation is a very prominent aspect in micro controllers which aims to to be more efficient in terms of power. A new method of estimation of power based on the execution of instruction in AURIX, which is an automotive micro- controller is proposed. The main aim of this method is to estimate the power in perspective of program(software) or instruction level which is constantly processed in microprocessor which is more accurate when compared with the previous methodologies. The estimation is done based on some set of instructions which is used in AURIX for Data transfer/storing in to memories, Data processing and Data Execution for various application. Most of the previous methodologies are all not accurate due to the abstraction levels.

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